Inside of the Linear Relation between Dependent and Independent Variables

Table 2

Characteristics of the SLR-LS models used in the optimization study.

Set	SLR model
1a		0.90	0.22	287	35
1b		0.84	0.30	666	126
1c		0.53	0.57	276	250
2		0.53	0.43	25	24
3		0.99	3.81	8050	73
4a		0.71	0.32	92	40
4b		0.41	0.98	19	30
5		0.36	1.44	72	132
6		0.71	0.57	191	80
7		0.49	0.37	43	47
8		0.65	0.38	64	37
9		0.74	0.33	128	47
10		0.56	0.50	75	60

SLR = simple linear regression.
= concentrations (expressed as mM) producing a 50% growth inhibition on T. pyriformis.
MDF descriptors [33, 39, 40, 42].
SD = global correlation descriptor [35]; TIC1 = total information content index (neighborhood symmetry of 1-order).
DCW = flexible (activity dependent) descriptor.
std_dim3 = the square root of the third largest eigenvalue of the covariance matrix of the atomic coordinates [43].
= determination coefficient; = standard error of the estimate.
= Fisher’s statistic of the regression model; = sample size.